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Showing posts with the label Emerging Tech

Gartner Hype Cycle for Emerging Technologies, 2019

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The Gartner Hype Cycle highlights the 29 emerging technologies CIOs should experiment with over the next year. Today, companies detect insurance fraud using a combination of claim analysis, computer programs and private investigators. The FBI estimates the total cost of non-healthcare-related insurance fraud to be around $40 billion per year. But a maturing emerging technology called emotion artificial intelligence (AI) might make it possible to detect insurance fraud based on audio analysis of the caller. Some technologies will provide “superhuman capabilities” In addition to catching fraud, this technology can improve customer experience by tracking happiness, more accurately directing callers, enabling better diagnostics for dementia, detecting distracted drivers, and even adapting education to a student’s current emotional state. Though still relatively new, emotion AI is one of 21 new technologies added to the Gartner Hype Cycle for Emerging Technologies, 2019. Original article ...

Enterprise data integration with an operational data hub

Big data (also called NoSQL) technologies facilitate the ingestion, processing, and search of data with no regard to schema (database structure). Web technologies such as Google, LinkedIn, and Facebook use big data technologies to process the tremendous amount of data from every possible source without regard to structure, and offer a searchable interface to access it. Modern NoSQL technologies have evolved to offer capabilities to govern, process, secure, and deliver data, and have facilitated the development of an integration pattern called the operational data hub (ODH). The Centers for Medicare and Medicaid Services (CMS) and other organizations (public and private) in the health, finance, banking, entertainment, insurance, and defense sectors (amongst others) utilize the capabilities of ODH technologies for enterprise data integration. This gives them the ability to access, integrate, master, process, and deliver data across the enterprise. Traditional mode...

Translytical Data Platforms

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Analytics at the speed of transactions has become an important agenda item for organizations. Translytical data platforms, an emerging technology, deliver faster access to business data to support various workloads and use cases. EA pros can use them to drive new business initiatives. Forrester identified the 12 most significant translytical vendors — Aerospike, DataStax, GigaSpaces, IBM, MemSQL, Microsoft, NuoDB, Oracle, Redis Labs, SAP, Splice Machine, and VoltDB — and researched, analyzed, and scored them against 25 criteria. Details >> (the link is provided by DataStax here ) The Forrester Wave™: Translytical Data Platforms, Q4 2017:

Gartner Top 10 Strategic Technology Trends for 2018

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Details:  https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/